scientific-visualization

Generate publication-quality charts for AgentSociety simulations with Okabe-Ito palettes.

1.2k|203|Updated Feb 6, 2025
One-click install
npx skills add https://github.com/tsinghua-fib-lab/AgentSociety --skill scientific-visualization-tsinghua-fib-lab
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-visualization
Source: https://github.com/tsinghua-fib-lab/AgentSociety/tree/main/extension/skills/agentsociety-analysis/v1.0.0/support/scientific-visualization
Command: npx skills add https://github.com/tsinghua-fib-lab/AgentSociety --skill scientific-visualization-tsinghua-fib-lab

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the creation of publication-quality charts for AgentSociety simulations, ensuring that visualizations are both clear and effective.

Core Features & Use Cases

  • Enhanced Visualization: Offers a range of chart patterns that are suitable for research publications.
  • Customization Options: Allows users to select from various visualization styles like Okabe-Ito palettes, seaborn CI bands, and small multiples.
  • Use Case: When generating charts for AgentSociety simulations, users can apply this Skill to enhance the visual representation of their data.

Quick Start

Use the scientific-visualization skill to generate a chart for your AgentSociety simulation and save it with the save_chart_bundle command.

Frequently Asked Questions about scientific-visualization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create publication-quality charts for AgentSociety simulations?

Generate publication-quality charts for AgentSociety simulations by applying predefined patterns like Okabe-Ito palettes, seaborn CI bands, and small multiples to enhance visual clarity.

What visualization styles are available for improving simulation chart clarity?

Available visualization styles for improving simulation chart clarity include Okabe-Ito palettes for color accessibility, seaborn CI bands for statistical confidence intervals, and small multiples for comparative data display.

Can I use seaborn CI bands and Okabe-Ito palettes for visual analysis of simulation data?

Yes, this skill directly supports applying Okabe-Ito palettes and seaborn CI bands to your simulation data, ensuring both color accessibility and statistical confidence representation.

Does this charting skill require any external dependencies to run?

No, this visualization skill operates without external dependencies, utilizing its built-in scripts, references, and assets to generate charts directly.

What is the best way to save generated chart bundles for research publications?

The best way to save generated chart bundles is to execute the save_chart_bundle command after applying your desired visualization styles to the AgentSociety simulation data.

When should I use small multiples in my simulation visual analysis?

Use small multiples in simulation visual analysis when comparing multiple variables or conditions across AgentSociety runs, ensuring clear, publication-quality comparative chart layouts.